Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
1
Round 1Won13 countries · 4 lives left
AndorravsYemen
Density: 172.8 vs 74.6 per km² · Higher wins ↑
Conquered Yemen.
Other category comparisons 1 other winning choice
All eight categories for Andorra against Yemen
Category
Andorra
Yemen
Result
Areakm² · Higher wins ↑
468
527,968
Would lose
Populationpeople · Higher wins ↑
80,856
39,390,799
Would lose
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
71,790
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
172.8
74.6
Would win
Highest peakm · Higher wins ↑
2,946
3,666
Would lose
Coastlinekm · Higher wins ↑
0
1,906
Would lose
Flag colourscolours · Higher wins ↑
7
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
42.5° N
15.3° N
Would lose
2
Round 2Won14 countries · 4 lives left
UgandavsSri Lanka
Area: 241,038 vs 65,610 km² · Higher wins ↑
Conquered Sri Lanka.
Other category comparisons 3 other winning choices
All eight categories for Uganda against Sri Lanka
Category
Uganda
Sri Lanka
Result
Areakm² · Higher wins ↑ · Chosen
241,038
65,610
Would win
Populationpeople · Higher wins ↑
48,656,601
22,037,000
Would win
Wealth per personint’l $ · Higher wins ↑
3,100
14,512
Would lose
Densityper km² · Higher wins ↑
201.9
335.9
Would lose
Highest peakm · Higher wins ↑
5,110
2,524
Would win
Coastlinekm · Higher wins ↑
0
1,340
Would lose
Flag colourscolours · Higher wins ↑
5
5
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
2.0° N
7.1° N
Would win
3
Round 3Won15 countries · 4 lives left
TogovsAngola
Flag colours: 4 vs 3 colours · Higher wins ↑
Conquered Angola.
Other category comparisons 2 other winning choices
All eight categories for Togo against Angola
Category
Togo
Angola
Result
Areakm² · Higher wins ↑
56,785
1,246,700
Would lose
Populationpeople · Higher wins ↑
8,223,850
36,749,906
Would lose
Wealth per personint’l $ · Higher wins ↑
3,572
9,550
Would lose
Densityper km² · Higher wins ↑
144.8
29.5
Would win
Highest peakm · Higher wins ↑
986
2,620
Would lose
Coastlinekm · Higher wins ↑
56
1,600
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
8.9° N
13.2° S
Would win
4
Round 4Won16 countries · 4 lives left
AfghanistanvsSuriname
Area: 652,230 vs 163,820 km² · Higher wins ↑
Conquered Suriname.
Other category comparisons 4 other winning choices
All eight categories for Afghanistan against Suriname
Category
Afghanistan
Suriname
Result
Areakm² · Higher wins ↑ · Chosen
652,230
163,820
Would win
Populationpeople · Higher wins ↑
41,454,761
628,886
Would win
Wealth per personint’l $ · Higher wins ↑
2,204
21,128
Would lose
Densityper km² · Higher wins ↑
63.6
3.8
Would win
Highest peakm · Higher wins ↑
7,492
1,230
Would win
Coastlinekm · Higher wins ↑
0
386
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
34.3° N
4.1° N
Would lose
5
Round 5Lost15 countries · 3 lives left
BotswanavsColombia
Area: 581,730 vs 1,138,910 km² · Higher wins ↑
Returned to the world: Botswana.
Other category comparisons 0 other winning choices
All eight categories for Botswana against Colombia
Category
Botswana
Colombia
Result
Areakm² · Higher wins ↑ · Chosen
581,730
1,138,910
Would lose
Populationpeople · Higher wins ↑
2,480,244
52,321,152
Would lose
Wealth per personint’l $ · Higher wins ↑
21,029
21,282
Would lose
Densityper km² · Higher wins ↑
4.3
45.9
Would lose
Highest peakm · Higher wins ↑
1,495
5,730
Would lose
Coastlinekm · Higher wins ↑
0
3,208
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
22.1° S
3.4° N
Would lose
6
Round 6Won16 countries · 3 lives left
HaitivsLesotho
Coastline: 1,771 vs 0 km · Higher wins ↑
Conquered Lesotho.
Other category comparisons 5 other winning choices
All eight categories for Haiti against Lesotho
Category
Haiti
Lesotho
Result
Areakm² · Higher wins ↑
27,750
30,355
Would lose
Populationpeople · Higher wins ↑
11,637,398
2,311,472
Would win
Wealth per personint’l $ · Higher wins ↑
3,265
2,880
Would win
Densityper km² · Higher wins ↑
419.4
76.1
Would win
Highest peakm · Higher wins ↑
2,674
3,482
Would lose
Coastlinekm · Higher wins ↑ · Chosen
1,771
0
Would win
Flag colourscolours · Higher wins ↑
7
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.2° N
29.4° S
Would win
7
Round 7Won17 countries · 3 lives left
Cabo VerdevsSyria
Density: 129.5 vs 125.9 per km² · Higher wins ↑
Conquered Syria.
Other category comparisons 3 other winning choices
All eight categories for Cabo Verde against Syria
Category
Cabo Verde
Syria
Result
Areakm² · Higher wins ↑
4,033
187,437
Would lose
Populationpeople · Higher wins ↑
522,331
23,594,623
Would lose
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
10,251
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
129.5
125.9
Would win
Highest peakm · Higher wins ↑
2,829
2,814
Would win
Coastlinekm · Higher wins ↑
965
193
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
15.0° N
35.0° N
Would win
8
Round 8Won18 countries · 3 lives left
MaltavsEquatorial Guinea
Wealth per person: 67,101 vs 16,997 int’l $ · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 1 other winning choice
All eight categories for Malta against Equatorial Guinea
Category
Malta
Equatorial Guinea
Result
Areakm² · Higher wins ↑
316
28,051
Would lose
Populationpeople · Higher wins ↑
552,747
1,847,549
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
67,101
16,997
Would win
Densityper km² · Higher wins ↑
1,749.2
65.9
Would win
Highest peakm · Higher wins ↑
253
3,008
Would lose
Coastlinekm · Higher wins ↑
196.8
296
Would lose
Flag colourscolours · Higher wins ↑
3
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
35.9° N
1.6° N
Would lose
9
Round 9Won19 countries · 3 lives left
HungaryvsBangladesh
Wealth per person: 46,376 vs 9,155 int’l $ · Higher wins ↑
Conquered Bangladesh.
Other category comparisons 1 other winning choice
All eight categories for Hungary against Bangladesh
Category
Hungary
Bangladesh
Result
Areakm² · Higher wins ↑
93,028
148,460
Would lose
Populationpeople · Higher wins ↑
9,592,186
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
46,376
9,155
Would win
Densityper km² · Higher wins ↑
103.1
1,155.0
Would lose
Highest peakm · Higher wins ↑
1,014
1,060
Would lose
Coastlinekm · Higher wins ↑
0
580
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
47.3° N
24.3° N
Would lose
10
Round 10Won20 countries · 3 lives left
NetherlandsvsGermany
Density: 430.3 vs 233.3 per km² · Higher wins ↑
Conquered Germany.
Other category comparisons 1 other winning choice
All eight categories for Netherlands against Germany
Category
Netherlands
Germany
Result
Areakm² · Higher wins ↑
41,543
357,022
Would lose
Populationpeople · Higher wins ↑
17,877,117
83,287,273
Would lose
Wealth per personint’l $ · Higher wins ↑
80,392
72,262
Would win
Densityper km² · Higher wins ↑ · Chosen
430.3
233.3
Would win
Highest peakm · Higher wins ↑
322
2,963
Would lose
Coastlinekm · Higher wins ↑
451
2,389
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
52.2° N
51.0° N
Would lose
11
Round 11Won21 countries · 3 lives left
MaldivesvsArmenia
Density: 1,765.1 vs 99.7 per km² · Higher wins ↑
Conquered Armenia.
Other category comparisons 3 other winning choices
All eight categories for Maldives against Armenia
Category
Maldives
Armenia
Result
Areakm² · Higher wins ↑
298
29,743
Would lose
Populationpeople · Higher wins ↑
525,994
2,964,300
Would lose
Wealth per personint’l $ · Higher wins ↑
24,807
21,552
Would win
Densityper km² · Higher wins ↑ · Chosen
1,765.1
99.7
Would win
Highest peakm · Higher wins ↑
5
4,090
Would lose
Coastlinekm · Higher wins ↑
644
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
3.3° N
40.6° N
Would win
12
Round 12Won22 countries · 3 lives left
RwandavsCzechia
Proximity to equator: 1.8° S vs 49.8° N from the equator · Closer wins ↓
Conquered Czechia.
Other category comparisons 3 other winning choices
All eight categories for Rwanda against Czechia
Category
Rwanda
Czechia
Result
Areakm² · Higher wins ↑
26,338
78,867
Would lose
Populationpeople · Higher wins ↑
13,954,471
10,864,042
Would win
Wealth per personint’l $ · Higher wins ↑
3,519
56,062
Would lose
Densityper km² · Higher wins ↑
529.8
137.8
Would win
Highest peakm · Higher wins ↑
4,519
1,602
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.8° S
49.8° N
Would win
13
Round 13Won23 countries · 3 lives left
AndorravsLithuania
Proximity to equator: 42.5° N vs 55.1° N from the equator · Closer wins ↓
Conquered Lithuania.
Other category comparisons 4 other winning choices
All eight categories for Andorra against Lithuania
Category
Andorra
Lithuania
Result
Areakm² · Higher wins ↑
468
65,300
Would lose
Populationpeople · Higher wins ↑
80,856
2,871,585
Would lose
Wealth per personint’l $ · Higher wins ↑
71,790
52,720
Would win
Densityper km² · Higher wins ↑
172.8
44.0
Would win
Highest peakm · Higher wins ↑
2,946
294
Would win
Coastlinekm · Higher wins ↑
0
90
Would lose
Flag colourscolours · Higher wins ↑
7
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
42.5° N
55.1° N
Would win
14
Round 14Lost22 countries · 2 lives left
YemenvsIndonesia
Area: 527,968 vs 1,904,569 km² · Higher wins ↑
Returned to the world: Yemen.
Other category comparisons 1 other winning choice
All eight categories for Yemen against Indonesia
Category
Yemen
Indonesia
Result
Areakm² · Higher wins ↑ · Chosen
527,968
1,904,569
Would lose
Populationpeople · Higher wins ↑
39,390,799
281,190,067
Would lose
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
Unavailable
15,428
Unavailable
Densityper km² · Higher wins ↑
74.6
147.6
Would lose
Highest peakm · Higher wins ↑
3,666
4,884
Would lose
Coastlinekm · Higher wins ↑
1,906
54,716
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓